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Datasets:
he-yang
/
2025-rethinkdc-imagenet-random-ipc-20

Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
dataset-compression
dataset-pruning
ipc-20
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Dataset used for paper -> "Rethinking Dataset Compression: Shifting Focus From Labels to Images"

Dataset created according to the paper Imagenet: A large-scale hierarchical image database.

Basic Usage 

from datasets import load_dataset
dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-random-ipc-20")

For more information, please refer to the Rethinking-Dataset-Compression

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Size of downloaded dataset files:
1.5 GB
Size of the auto-converted Parquet files:
1.5 GB
Number of rows:
20,000

Collection including he-yang/2025-rethinkdc-imagenet-random-ipc-20